Today I want to talk about one strategy traditional retailers can use: reverse showrooming. What do I mean by reverse showrooming? Basically that retailers take advantage of my materialistic lust to have an item *right fricken now* while I'm sitting at home.

As part of the London hack days Diego Ceccarelli started a BM25F implementation. I began to continue it at Lucene Revolution's Lucene hackathon. I realized though that when you break down the problem, BM25F can be implemented using existing Lucene bits, including the existing BM25Similarity and the BlendedTermQuery.

If you're a geek in or around the Charlottesville metroplex or even if you're merely tech-curious, this is the event you don't want to miss. beCamp is Charlottesville's version of the BarCamp unconference phenomenon: organized on the fly by attendees, for attendees.

There's a trend away from recommendation systems being the domain of wealthy organizations. Increasingly, I see a shift towards search engines like Solr or Elasticsearch for implementing recommendation systems

Let's explore how to deliver great recommendations with Elasticsearch. In this article, we dive into an aggregrations based method for Elasticsearch recommendations. We attempt to understand the mechanics and assumptions of the underlying JLH scoring method.

In this series of articles, I want to give you, the content person, a very practical and straight-forward guide to managing site search. We'll start by discussing diagnosis -- how to find problems. We'll use a simple, free analytics tool (google analytics). We'll make a few naive assumptions about these analytics that act as a good starting point.

We're happy to announce today we're releasing our OpenSource Connection's official search relevance methodology. It lays out a framework for incrementally implementing and evaluating relevance against what matters to your business

A conversation with Doug Turnbull and John Berryman, authors of Relevant Search from Manning Publications about:
The future for search
What it’s like to write a techinical book, an how they got started doing it
What is different about their book compared to what has been written before, including some book recomendations
Search problems they wish they could solve
If you’ve listened to this podcast before you are know Doug, the search relevancy lead at OpenSource Connections.
John Berryman is an OpenSource Collections Alumni who works on the search and discovery team at EventBrite
Relavant Search is available now from Manning Publications
“Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines”

ClinicalTrials.gov is a wealth of information. But the only database format they support is an Oracle dmp file. Follow along as I help our data science intern answer hard questions about ethnic diversity in clinical trials by deploying Oracle using Docker Cloud.

After much sweat and tears our book Relevant Search is out! Relevant Search reflects the wisdom we've acquired over the years helping many clients improve search. I thought it would be an appropriate time to recap where many organizations get stuck with search

My name is Samia, and I am a DataStart intern for the next couple of months. My project is an analysis of racial, gender, and ethnic representation on cancer clinical trials conducted between 2002 and 2012. I will be learning to use data management tools to get a basic handle on my data before I can begin my analysis.

Julien Lemoine from Alogia search joins us to talk about how they have implemented text search from scratch.
In our chat we get some history of Algolia and some great details on how that history powers some amazing search performance.

Solr is no longer has to be a lonely siloed search engine, isolated from the rest of your data repositories. Pair Solr up with technologies like Zeppelin and Spark and query across your silos using familiar SQL. Yep. Solr is now a BI engine.